201 to 225 of 465 TensorFlow Jobs

models, and RAG Have high-level familiarity with the architecture and operation of large language models Have personally implemented models in PyTorch, Jax, or TensorFlow Have a strong foundation in data structures, algorithms, and software engineering principles Exhibit excellent problem-solving and analytical skills with a proactive approach ...

databases and retrieval MLOps and production deployment AI evaluation, testing and observability AI governance, model risk and engineering controls ML frameworks such as PyTorch, TensorFlow or Scikit-learn Experience operating in complex, regulated or high-risk environments would be particularly valuable. More important than any individual technology ...

with a strong focus on Generative AI in production environments Deep understanding of AI/ML frameworks (e.g., Langchain, Semantic Kernel/Agents Framework, TensorFlow, PyTorch, Hugging Face with a preference for Agentic frameworks) and model lifecycle management Hands‐on experience with cloud platforms (Azure preferred ...

software engineering best practices. Experience across the machine learning lifecycle, including taking models into production. Hands-on experience with frameworks such as Scikit-learn, TensorFlow or PyTorch. Experience working with cloud platforms such as AWS, Azure or GCP. Knowledge of cloud architecture, infrastructure and security. Practical experience with Docker ...

engineers and leading by example. Strong understanding of software architecture principles and system design. Familiarity with integrating AI/ML APIs or frameworks (e.g., TensorFlow, PyTorch) is a plus. Excellent communication skills and a collaborative approach to problem solving. The Mindset We Value: Relentless Innovation: We're looking ...

testing and benchmarking to support ongoing improvement Qualifications Key Skills and Experience Proficiency in Python and familiarity with ML/AI libraries (e.g. PyTorch, TensorFlow, Hugging Face) for computer vision. Hands‐on professional experience in fine‐tuning and deploying machine learning solutions end‐to‐end, with a focus ...

version control tools, preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models in a production environment. Proven ...

related discipline, or equivalent industry experience. Strong proficiency in relevant programming languages (Python – essential; C++ – preferred; SQL – exposure), tools and technologies (Pytorch or Tensorflow – essential; Opencv, Scipy, Pandas, or equivalent libraries for image processing and data science - essential; MS Azure Synapse – exposure) used in the development of machine learning ...

Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using ...

star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/or Terraform (desirable) What You Will ...

technical depth Who we’re looking for: You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems You have demonstrable hands-on experience ...

learning and generative AI methods for supervised, self‐supervised and unsupervised learning with an emphasis on vision. Proficiency with deep learning frameworks such as TensorFlow/PyTorch. Proficiency with Python and strong software development background. Knowledge and experience with AWS is highly desirable. Experience with MLOps practices, including versioning ...

AnalysisRequirementsMS or Ph.D. in Computer Science, Mathematics, or a related fieldStrong programming skills in Python, and relevant ML and GenAI libraries (e.g., langchain, langgraph, TensorFlow, PyTorch, scikit-learn)Hands-on experience evaluating pre-trained models, and fine tuning or training modelsExperience in the recent developments of Agentic Architecture Excellent ...

data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/ ...

tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches ...

equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem-solving skills and ability to work in a team environment. Thorough and proven ...

statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit‐learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing) Experience working with distributed data systems (Spark, Ray, Dask ...

trustworthy Engineer features and datasets for model training, evaluation, and retrieval Develop, fine‐tune, and evaluate machine learning models using frameworks such as PyTorch, TensorFlow, or scikit‐learn Deploy models into production as APIs or services, with attention to latency, cost, scalability, and reliability Design and implement RAG (Retrieval … querying, modelling, and optimisation Data pipelines & orchestration – Airflow, Prefect, Dagster, or dbt Data warehouses/lakes – BigQuery, Snowflake, Redshift, or Databricks ML frameworks – PyTorch, TensorFlow, or scikit‐learn LLM & AI tooling – OpenAI, Anthropic; LangChain or LlamaIndex Agentic AI – LangGraph, LangChain Agents, AutoGen, or CrewAI; tool/function calling, orchestration ...

data, especially large-scale text or content datasets. Familiarity with common data science and ML tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions. Strong analytical thinking, problem-solving skills, and attention … Experience with some of the following is valuable: Python, SQL, Git, CI/CD, unit testing, and collaborative software development practices. Scikit-learn, PyTorch, TensorFlow, Hugging Face, or similar ML/AI frameworks. Cloud platforms such as AWS or Azure. MLOps tools such as MLflow, Kubeflow, SageMaker, or similar. ...

commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud ...

solve complex business problems. Job Description ✔️ Design and implement machine learning and AI algorithms for enterprise applications. ✔️ Build and train deep learning models using TensorFlow or PyTorch. ✔️ Process and analyze large-scale structured and unstructured datasets. ✔️ Apply natural language processing (NLP) and computer vision techniques. ✔️ Integrate AI solutions into ...

external partners like Google DeepMind. Skills and qualifications EssentialAI/ML Engineering: Deep conceptual and practical understanding of deep learning frameworks (e.g., JAX, PyTorch, TensorFlow), large-scale cloud training or inference infrastructure, and LLM ecosystems. Adversarial ML Mindset: Strong familiarity with AI security threat vectors (prompt injection, model inversion ...

models on Databricks. Familiarity with cloud‐based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit‐learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams. #J-18808-Ljbffr ...

leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer: Join a team responsible for investigating ...

technical expertise in particular topics and broad knowledge for solving complex problems; Have strong Python skills and practical experience operationalising models with Scikit-learn, TensorFlow, or PyTorch; Be an expert in at least one major Cloud Solution Provider, such as Azure, GCP, or AWS; Have experience leading teams ...